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Lawrence Wing Chi Chan

Showing results (41-50 of 47) with videos related to

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European Radiology|October 16, 2021
Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagnostic studyLuyu Huang, Weihuan Lin, Daipeng Xie, et al.
Quantitative Imaging in Medicine and Surgery|July 5, 2022
Development and validation of bone-suppressed deep learning classification of COVID-19 presentation in chest radiographsNgo Fung Daniel Lam, Hongfei Sun, Liming Song, et al.
Quantitative Imaging in Medicine and Surgery|February 23, 2023
Deep learning attention-guided radiomics for COVID-19 chest radiograph classificationDongrong Yang, Ge Ren, Ruiyan Ni, et al.
Diagnostics (Basel, Switzerland)|January 8, 2023
Primary Tumor Radiomic Model for Identifying Extrahepatic Metastasis of Hepatocellular Carcinoma Based on Contrast Enhanced Computed TomographyLawrence Wing Chi Chan, Sze Chuen Cesar Wong, William Chi Shing Cho, et al.
Frontiers in Oncology|February 17, 2022
Multi-Organ Omics-Based Prediction for Adaptive Radiation Therapy Eligibility in Nasopharyngeal Carcinoma Patients Undergoing Concurrent ChemoradiotherapySai-Kit Lam, Yuanpeng Zhang, Jiang Zhang, et al.
The Lancet. Digital Health|April 2, 2026
Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective, multicentric, diagnostic studyLintong Yao, Linghan Cai, Maotao Weng, et al.
JCO Precision Oncology|June 14, 2023
Consensus Statements on Precision Oncology in the China Greater Bay AreaTai-Chung Lam, William Chi-Shing Cho, Joseph Siu-Kie Au, et al.
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Showing results (41-50 of 47) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 47 results.
European Radiology|October 16, 2021
Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagnostic studyLuyu Huang, Weihuan Lin, Daipeng Xie, et al.
Quantitative Imaging in Medicine and Surgery|July 5, 2022
Development and validation of bone-suppressed deep learning classification of COVID-19 presentation in chest radiographsNgo Fung Daniel Lam, Hongfei Sun, Liming Song, et al.
Quantitative Imaging in Medicine and Surgery|February 23, 2023
Deep learning attention-guided radiomics for COVID-19 chest radiograph classificationDongrong Yang, Ge Ren, Ruiyan Ni, et al.
Diagnostics (Basel, Switzerland)|January 8, 2023
Primary Tumor Radiomic Model for Identifying Extrahepatic Metastasis of Hepatocellular Carcinoma Based on Contrast Enhanced Computed TomographyLawrence Wing Chi Chan, Sze Chuen Cesar Wong, William Chi Shing Cho, et al.
Frontiers in Oncology|February 17, 2022
Multi-Organ Omics-Based Prediction for Adaptive Radiation Therapy Eligibility in Nasopharyngeal Carcinoma Patients Undergoing Concurrent ChemoradiotherapySai-Kit Lam, Yuanpeng Zhang, Jiang Zhang, et al.
The Lancet. Digital Health|April 2, 2026
Deep learning model for pathological invasiveness prediction using smartphone-based surgical resection images in clinical stage IA lung adenocarcinoma (SuRImage): a prospective, multicentric, diagnostic studyLintong Yao, Linghan Cai, Maotao Weng, et al.
JCO Precision Oncology|June 14, 2023
Consensus Statements on Precision Oncology in the China Greater Bay AreaTai-Chung Lam, William Chi-Shing Cho, Joseph Siu-Kie Au, et al.
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